ProgTutorial/Recipes/Antiquotes.thy
author Christian Urban <urbanc@in.tum.de>
Fri, 27 Mar 2009 12:49:28 +0000
changeset 211 d5accbc67e1b
parent 191 0150cf5982ae
child 292 41a802bbb7df
permissions -rw-r--r--
more work on simple inductive and marked all sections that are still seriously incomplete with TBD


theory Antiquotes
imports "../Base"
begin

section {* Useful Document Antiquotations *}

text {*
  {\bf Problem:} 
  How to keep your ML-code inside a document synchronised with the actual code?\smallskip

  {\bf Solution:} This can be achieved with document antiquotations.\smallskip

  Document antiquotations can be used for ensuring consistent type-setting of
  various entities in a document. They can also be used for sophisticated
  \LaTeX-hacking. If you type on the Isabelle level
*}

print_antiquotations

text {*
  you obtain a list of all currently available document antiquotations and
  their options.  

  Below we will give the code for two additional document
  antiquotations both of which are intended to typeset ML-code. The crucial point
  of these document antiquotations is that they not just print the ML-code, but also 
  check whether it compiles. This will provide a sanity check for the code
  and also allows you to keep documents in sync with other code, for example
  Isabelle.

  We first describe the antiquotation @{text "ML_checked"} with the syntax:
 
  @{text [display] "@{ML_checked \"a_piece_of_code\"}"}

  The code is checked by sending the ML-expression @{text [quotes] "val _ =
  a_piece_of_code"} to the ML-compiler (i.e.~the function @{ML
  "ML_Context.eval_in"} in Line 4 below). The complete code of the
  document antiquotation is as follows:

*}

ML%linenosgray{*fun ml_val code_txt = "val _ = " ^ code_txt

fun output_ml {context = ctxt, ...} code_txt =
  (ML_Context.eval_in (SOME ctxt) false Position.none (ml_val code_txt); 
   ThyOutput.output (map Pretty.str (space_explode "\n" code_txt)))

val _ = ThyOutput.antiquotation "ML_checked" (Scan.lift Args.name) output_ml*}

text {*
  The parser @{ML "(Scan.lift Args.name)"} in Line 7 parses a string, in this
  case the code, and then calls the function @{ML output_ml}. As mentioned
  before, the parsed code is sent to the ML-compiler in Line 4 using the
  function @{ML ml_val}, which constructs the appropriate ML-expression, and
  using @{ML "eval_in" in ML_Context}, which calls the compiler.  If the code is
  ``approved'' by the compiler, then the output function @{ML "output" in
  ThyOutput} in the next line pretty prints the code. This function expects
  that the code is a list of (pretty)strings where each string correspond to a
  line in the output. Therefore the use of @{ML "(space_explode \"\\n\" txt)"
  for txt} which produces such a list according to linebreaks.  There are a
  number of options for antiquotations that are observed by the function 
  @{ML "output" in ThyOutput} when printing the code (including @{text "[display]"} 
  and @{text "[quotes]"}). The function @{ML "antiquotation" in ThyOutput} in 
  Line 7 sets up the new document antiquotation.

  \begin{readmore}
  For more information about options of document antiquotations see \rsccite{sec:antiq}).
  \end{readmore}

  Since we used the argument @{ML "Position.none"}, the compiler cannot give specific 
  information about the line number, in case an error is detected. We 
  can improve the code above slightly by writing 
*}

ML%linenosgray{*fun output_ml {context = ctxt, ...} (code_txt, pos) =
  (ML_Context.eval_in (SOME ctxt) false pos (ml_val code_txt);
   ThyOutput.output (map Pretty.str (space_explode "\n" code_txt)))

val _ = ThyOutput.antiquotation "ML_checked"
         (Scan.lift (OuterParse.position Args.name)) output_ml *}

text {*
  where in Lines 1 and 2 the positional information is properly treated. The
  parser @{ML OuterParse.position} encodes the positional information in the 
  result.

  We can now write @{text "@{ML_checked \"2 + 3\"}"} in a document in order to
  obtain @{ML_checked "2 + 3"} and be sure that this code compiles until
  somebody changes the definition of addition.


  The second document antiquotation we describe extends the first by a pattern
  that specifies what the result of the ML-code should be and checks the
  consistency of the actual result with the given pattern. For this we are
  going to implement the document antiquotation:

  
  @{text [display] "@{ML_resp \"a_piece_of_code\" \"a_pattern\"}"}
  
  To add some convenience and also to deal with large outputs, the user can
  give a partial specification by using ellipses. For example @{text "(\<dots>, \<dots>)"}
  for specifying a pair.  In order to check consistency between the pattern
  and the output of the code, we have to change the ML-expression that is sent 
  to the compiler: in @{text "ML_checked"} we sent the expression @{text [quotes]
  "val _ = a_piece_of_code"} to the compiler; now the wildcard @{text "_"}
  must be be replaced by the given pattern. However, we have to remove all
  ellipses from it and replace them by @{text [quotes] "_"}. The following 
  function will do this:
*}

ML{*fun ml_pat (code_txt, pat) =
let val pat' = 
         implode (map (fn "\<dots>" => "_" | s => s) (Symbol.explode pat))
in 
  "val " ^ pat' ^ " = " ^ code_txt 
end*}

text {* 
  Next we add a response indicator to the result using:
*}


ML{*fun add_resp pat = map (fn s => "> " ^ s) pat*}

text {* 
  The rest of the code of @{text "ML_resp"} is: 
*}

ML %linenosgray{*fun output_ml_resp {context = ctxt, ...} ((code_txt, pat), pos) = 
  (ML_Context.eval_in (SOME ctxt) false pos (ml_pat (code_txt, pat));
   let 
     val code_output = space_explode "\n" code_txt 
     val resp_output = add_resp (space_explode "\n" pat)
   in 
     ThyOutput.output (map Pretty.str (code_output @ resp_output)) 
   end)

val _ = ThyOutput.antiquotation "ML_resp" 
          (Scan.lift (OuterParse.position (Args.name -- Args.name))) 
             output_ml_resp*}

text {*
  In comparison with @{text "ML_checked"}, we only changed the line about 
  the compiler (Line~2), the lines about
  the output (Lines 4 to 7) and the parser in the setup (Line 11). Now 
  you can write
 
  @{text [display] "@{ML_resp [display] \"true andalso false\" \"false\"}"}

  to obtain

  @{ML_resp [display] "true andalso false" "false"} 

  or 

  @{text [display] "@{ML_resp [display] \"let val i = 3 in (i * i, \"foo\") end\" \"(9, \<dots>)\"}"}
  
  to obtain

  @{ML_resp [display] "let val i = 3 in (i * i, \"foo\") end" "(9, \<dots>)"} 

  In both cases, the check by the compiler ensures that code and result
  match. A limitation of this document antiquotation, however, is that the
  pattern can only be given for values that can be constructed. This excludes
  values that are abstract datatypes, like @{ML_type thm}s and @{ML_type cterm}s.

*}
end